Image segmentation assisted by a triple-camera setup

Photographers suffer from many challenging problems when separating and compositing images, such as the color camouflage and unpleasant color bleeding artifacts. To tackle these issues, we present a solution to foreand background segmentation for images taken from multiple cameras, which introduce the parallax that leads to the foreground model projecting to different background locations, which has been designed to exhibit a special pattern to ease the object extraction. We optimize the camera distance and model position to ensure the silhouette of the model falls on different colors of the background pattern on the wall. Furthermore, we develop a visualization tool based on our algorithm to help photographers effectively setup their studios.